Here is a list of all documented struct and union fields with links to the struct/union documentation for each field:

- s -

• SameNumberOfOutput() : caffe2::OpSchema
• save() : TestIndexSampler , torch::data::samplers::DistributedRandomSampler , torch::data::samplers::DistributedSequentialSampler , torch::data::samplers::RandomSampler , torch::data::samplers::Sampler< BatchRequest > , torch::data::samplers::SequentialSampler , torch::data::samplers::StreamSampler , torch::nn::Module , torch::optim::Adagrad , torch::optim::Adam , torch::optim::detail::OptimizerBase , torch::optim::LBFGS , torch::optim::RMSprop , torch::optim::SGD
• save_to() : torch::serialize::OutputArchive
• scale : ANeuralNetworksOperandType
• Seconds() : caffe2::Timer
• Seek() : caffe2::db::BlobsQueueDBCursor , caffe2::db::Cursor , caffe2::db::LevelDBCursor , caffe2::db::LMDBCursor , caffe2::db::MiniDBCursor , caffe2::db::ProtoDBCursor , caffe2::db::RocksDBCursor , caffe2::db::ZmqDBCursor
• SeekToFirst() : caffe2::db::BlobsQueueDBCursor , caffe2::db::Cursor , caffe2::db::DBReader , caffe2::db::LevelDBCursor , caffe2::db::LMDBCursor , caffe2::db::MiniDBCursor , caffe2::db::ProtoDBCursor , caffe2::db::RocksDBCursor , caffe2::db::ZmqDBCursor
• select_all_keeping_dim() : at::TensorIterator
• sequence_number_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• sequencer_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• SequentialImpl() : torch::nn::SequentialImpl
• SequentialSampler() : torch::data::samplers::SequentialSampler
• Serialize() : caffe2::BlobSerializerBase , caffe2::db::DBReaderSerializer , caffe2::MutexSerializer , caffe2::QTensorSerializer< Context > , caffe2::StringSerializer , caffe2::TensorSerializer
• set_allow_tensor_metadata_change() : c10::TensorImpl
• set_autograd_meta() : c10::TensorImpl
• set_data() : torch::autograd::Variable
• set_device() : c10::cuda::CUDAGuard , c10::cuda::OptionalCUDAGuard , c10::impl::InlineDeviceGuard< T > , c10::impl::InlineOptionalDeviceGuard< T >
• set_epoch() : torch::data::samplers::DistributedSampler< BatchRequest >
• set_grad_accumulator() : torch::autograd::Variable
• set_gradient_edge() : torch::autograd::Variable
• set_index() : c10::cuda::CUDAGuard , c10::cuda::OptionalCUDAGuard , c10::Device , c10::DeviceGuard , c10::impl::InlineDeviceGuard< T > , c10::impl::InlineOptionalDeviceGuard< T >
• set_requires_grad() : c10::TensorImpl , torch::autograd::Variable
• set_size() : at::SparseTensorImpl , c10::SmallVectorImpl< T > , c10::TensorImpl
• set_sizes_and_strides() : c10::TensorImpl
• set_sizes_contiguous() : c10::TensorImpl
• set_storage_offset() : at::SparseTensorImpl , c10::TensorImpl
• set_stride() : at::SparseTensorImpl , c10::TensorImpl
• set_warning_handler() : c10::Warning
• set_wrapped_number() : c10::TensorImpl
• setDevice() : at::detail::CPUGuardImpl , c10::cuda::impl::CUDAGuardImpl , c10::hip::HIPGuardImplMasqueradingAsCUDA , c10::impl::DeviceGuardImplInterface , c10::impl::FakeGuardImpl< T > , c10::impl::VirtualGuardImpl
• SetMaxParallelTimesteps() : caffe2::RecurrentNetworkExecutorBase
• setSampleTimestamps() : caffe2::Params
• shape : DLTensor
• ShareData() : c10::TensorImpl
• SharedBatchDataset() : torch::data::datasets::SharedBatchDataset< UnderlyingDataset >
• ShareExternal() : caffe2::Blob
• ShareExternalPointer() : caffe2::Tensor
• should_accumulate() : at::TensorIterator
• ShrinkTo() : caffe2::Tensor
• shuttle_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• SingleGradientDef() : caffe2::GradientMakerBase
• size() : at::MatrixRef< T > , c10::ArrayRef< T > , c10::TensorImpl , c10::UndefinedTensorImpl , caffe2::MPICommonWorldWrapper , caffe2::Tensor , DummyDataset , DummyTensorDataset , InfiniteStreamDataset , ordering_test::Dataset , TensorStringDataset , TestIndex , TestIndexDataset , torch::data::datasets::BatchDataset< Self, Batch, BatchRequest > , torch::data::datasets::ChunkDataset< ChunkReader, ChunkSampler, ExampleSampler > , torch::data::datasets::MapDataset< SourceDataset, AppliedTransform > , torch::data::datasets::MNIST , torch::data::datasets::SharedBatchDataset< UnderlyingDataset > , torch::data::datasets::TensorDataset , torch::data::samplers::BatchSize , torch::data::samplers::CustomBatchRequest , torch::ExpandingArray< D, T > , torch::nn::SequentialImpl , torch::optim::detail::OptimizerBase , torch::OrderedDict< Key, Value > , UncopyableDataset , UnCopyableDataset , UnsizedDataset
• size_from_dim() : caffe2::QTensor< Context >
• size_in_bytes() : c10::SmallVectorBase
• size_to_dim() : caffe2::QTensor< Context >
• sizes() : at::SparseTensorImpl , c10::TensorImpl , c10::UndefinedTensorImpl , torch::jit::ContainerTensor
• slice() : c10::ArrayRef< T >
• slow_data() : c10::TensorImpl
• split() : at::TensorIterator
• splitLongInlines() : torch::jit::PythonPrintPass
• Start() : caffe2::Timer
• state : torch::nn::RNNOutput
• StatefulDataLoader() : torch::data::StatefulDataLoader< Dataset >
• StatelessDataLoader() : torch::data::StatelessDataLoader< Dataset, Sampler >
• step() : torch::optim::Adagrad , torch::optim::LBFGS , torch::optim::RMSprop
• storage() : at::SparseTensorImpl , c10::TensorImpl , c10::UndefinedTensorImpl , torch::jit::ContainerTensor
• storage_initialized() : c10::TensorImpl
• storage_offset() : at::SparseTensorImpl , c10::TensorImpl , c10::UndefinedTensorImpl
• stream() : c10::cuda::CUDAStream
• Stream() : c10::Stream
• StreamGuard() : c10::StreamGuard
• streamIndex() : caffe2::Params
• StreamSampler() : torch::data::samplers::StreamSampler
• stride() : at::SparseTensorImpl , c10::TensorImpl , c10::UndefinedTensorImpl
• stride_bytes : at::OperandInfo
• strides() : at::SparseTensorImpl , at::TensorIterator , c10::TensorImpl , c10::UndefinedTensorImpl , DLTensor , torch::jit::ContainerTensor
• strtod_c() : torch::jit::script::SharedParserData
• swap() : caffe2::Blob